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Abstract #2235

Reducing pulsatile artefact in TOF sequence using CNN

Qiaoyi Xue1, Jianmin Yuan1, Haodong Qin2, Hui Liu1, Ran Huo3, and Huishu Yuan3
1Central Research Institute, United Imaging Healthcare Group, United Imaging Healthcare, Shanghai, China, 2Magnetic Resonance Business Unit, United Imaging Healthcare, Shanghai, China, 3Department of Radiology, Peking University Third Hospital, Beijing, China

Time-of-flight (TOF) sequence is a non-contrast enhancing blood vessel imaging technique critical for vessel wall analysis. However, the periodical pulsation in the vessels, especially arteries, often causes pulsatile artifact along the phase encoding direction in the image. This degrades image quality and brings difficulty for diagnosis. The purpose of this work is to develop a convolutional neural network (CNN) method to reduce the pulsatile artefact in TOF sequence.

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